Lead DevOps Engineer
Lead DevOps Engineer
Montreal, Quebec, Canada - Permanent
Our client is a company focused on providing net new sales opportunities for marketing and sales teams, our client has evolved into a leading global predictive intelligence organization, providing fully integrated, end to end, account-based marketing services. For over 16 years, clients have relied on them to help them achieve their revenue goals by combining cutting-edge predictive analytics with a full suite of account-based marketing services to acquire new customers.\
With a newly launched Engineering org in Montreal they are now building out a strong team to lead several product initiatives.
•You will be working as part of the team responsible for an enterprise class predictive platform that drives higher response rates, pipelines conversions and pipelines values by enhancing sales and marketing execution with predictive analytics and intelligence.
•You will report to our head of engineering and will work closely with our teams in Belfast, Dublin and Philadelphia.
•As a member of the team, you will help in modernizing and enhancing our award winning product.
•You will be using the latest cloud technologies to build and maintain a secure, scalable, reliable and resilient infrastructure in a public cloud environment.
•You will be helping to build and improve CI/CD processes to automate the delivery of releases into dev, QA and production environments and assisting development and QA engineers in troubleshooting issues.
•You will help provide visibility into various infrastructure health metrics and will report on progress towards automation improvements.
Must Have Skills:
•7+ years of experience in managing high scale globally deployed SaaS applications in a public cloud environment such as AWS (preferred), GCP or Azure.
•3+ years experience with IAC tools and techniques such as Chef, Puppet, Ansible, CloudFormation, Terraform or others
•3+ years of Experience with Cloud Architecture and deployments on AWS, GCP or Azure
•3+ year experience with container and orchestration technologies such as Docker, Kubernetes, OpenShift
•Proficiency with one of the following scripting languages: Python, Typescript, Go or Ruby
Nice to Have Skills:
•Experience with big data technologies, streaming analytics and AI would be a great asset.
•Experience in martech or adtech (RTB) would also be a great asset.